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1713405

registered interest
date	24/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Department for Work and Pensions: Departmental Responsibilities
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many hon. Members he has held meetings on constituency cases with since his appointment.
tabling member constituency	Warley
tabling member printed	John Spellar
uin	23370
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Information on meetings on constituency cases is not readily available and to provide it would incur disproportionate cost.</p><p><strong> </strong></p><p>Information on ministerial meetings can be found here: <a href="https://www.gov.uk/government/collections/dwp-ministers-hospitality-and-gifts" target="_blank">DWP ministerial gifts, hospitality, travel and meetings - GOV.UK (www.gov.uk)</a></p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 16:38:12 answering member 3926 label Biography information for Paul Maynard
tabling member	318 label Biography information for John Spellar

1702477

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent in which claimants were (a) from protected groups and (b) vulnerable claimants were found to be fraudulent.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22695
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22693 22694 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702476

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were found to be fraudulent.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22694
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22693 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702474

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were (a) from protected groups and (b) vulnerable claimants.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22692
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22693 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702470

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many fraudulent advance Universal Credit claims have been identified by his Department's machine learning algorithm.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22688
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22692 22693 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702475

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were from (a) protected groups and (b) vulnerable claimants.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22693
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702472

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what the cost per claim is for successfully identified fraudulent Universal Claims using his Department’s machine learning algorithm.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22690
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>The Department does not record this information.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22689 question first answered 29/04/2024 15:51:32 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702471

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Social Security Benefits: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what the total annual cost of his Department’s use of machine learning algorithms to identify fraudulent benefit claims is.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22689
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>The Department does not record this information.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22690 question first answered 29/04/2024 15:51:32 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702479

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Fraud and Maladministration
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, with reference to paragraph 4.2 of the report by the National Audit Office entitled Department for Work and Pensions Accounts 2022-23, published on 6 July 2023, whether it remains his Department's plan to bring forward a Fraud and Error Bill.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22697
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>As mentioned by the Prime Minister on 19<sup>th</sup> April, we are also preparing a new fraud bill for the next Parliament, which will align DWP with HMRC so that we treat benefit fraud like tax fraud with new powers to make seizures and arrests and will also enable penalties to be applied to a wider set of fraudsters through a new civil penalty.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 15:50:05 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1713695

registered interest
date	24/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Social Security Benefits: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what assessment he Department has made of the potential impact of financial (a) hardship and (b) abuse on trends in the levels of women prosecuted for benefit fraud in the last 12 months.
tabling member constituency	Cynon Valley
tabling member printed	Beth Winter
uin	23658
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>DWP has not assessed or analysed the impact on any groups over the last 12 month. We have robust processes around managing our prosecutions and apply our policies consistently across all groups.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 15:49:52 answering member 3926 label Biography information for Paul Maynard
tabling member	4809 label Biography information for Beth Winter